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On Wed, Sep 23, 2020 at 3:10 AM David Mertz <mertz@gnosis.cx> wrote:
On Tue, Sep 22, 2020 at 11:55 PM Paul Moore <p.f.moore@gmail.com> wrote:
The point of this request is that Python's packaging infrastructure is looking at what compression we use for wheels - the current compression is suboptimal for huge binaries like tensorflow.
There are definitely some intermediate compression levels where both brotli and zstd are significantly faster [than lzma], but not at the higher levels where lzma does as well or better.
I'd assume that only decompression speed matters for packages, and on that metric both brotli and zstd beat lzma by a mile regardless of the compression level. But I think that lzma gets exceptionally good ratios on x86/x64 machine code. Even after all these years it seems to be the state of the art for "best ratio that isn't painfully slow to decompress". On Wed, Sep 23, 2020 at 3:10 AM David Mertz <mertz@gnosis.cx> wrote:
On Tue, Sep 22, 2020 at 11:55 PM Paul Moore <p.f.moore@gmail.com> wrote:
The point of this request is that Python's packaging infrastructure is looking at what compression we use for wheels - the current compression is suboptimal for huge binaries like tensorflow. Packaging is in a unique situation, because it *cannot* use external libraries
It's hard to see where packaging would have any advantage with brotli or zstd over lzma. XZ is more widely used, and package size seems to dominate speed. There are definitely some intermediate compression levels where both brotli and zstd are significantly faster, but not at the higher levels where lzma does as well or better.
Is there a concrete need here, or just an abstract point that compression of packages shouldn't be outside the stdlib?
Honestly, if you really want compression size over everything else, PPM is going to beat the LZ based approaches. But being ungodly slow and using tons of memory.
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